An exposome-wide association study of hyperuricemia through a rural cohort study and to predict risk factors

International Journal of Biometeorology 2026

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Authors: Jian Zhang, Huanxiang Zhang, Han Pang, Jia Yi Qiu, Xiuli Tang, Zhaohui Zheng, Jian Hou, Xiaotian Liu, Wenqian Huo, Zhenxing Mao, Chongjian Wang, Yuqian Li
DOI: 10.1007/s00484-025-03069-1
Cited by: 0
References: 43

Fields of Study & Subjects

Gout Hyperuricemia Uric Acid Health Environment Cognitive Aging Statistical Methods in Epidemiology

Publication details

Journal / source
International Journal of Biometeorology
Volume
70
Issue
1
Pages
23–23
Publication date
1 January 2026
Language
EN